{"id":"https://openalex.org/W2156181515","doi":"https://doi.org/10.1109/siu.2013.6531172","title":"Initialization of nonnegative matrix factorization dictionaries for single channel source separation","display_name":"Initialization of nonnegative matrix factorization dictionaries for single channel source separation","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2156181515","doi":"https://doi.org/10.1109/siu.2013.6531172","mag":"2156181515"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2013.6531172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013467271","display_name":"Emad M. Grais","orcid":"https://orcid.org/0000-0002-6387-0981"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"E. M. Grais","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065994318","display_name":"Hakan Erdo\u011fan","orcid":"https://orcid.org/0000-0003-3140-8642"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"H. Erdogan","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134235054"],"apc_list":null,"apc_paid":null,"fwci":0.2348,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.47480029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.9513596296310425},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8767996430397034},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7741236686706543},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.7565139532089233},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.5910608768463135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5910583734512329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5367146134376526},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5267153382301331},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4787975251674652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44410350918769836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33993053436279297}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.9513596296310425},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8767996430397034},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7741236686706543},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.7565139532089233},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5910608768463135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910583734512329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5367146134376526},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5267153382301331},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4787975251674652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44410350918769836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33993053436279297},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/siu.2013.6531172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.sabanciuniv.edu:21728","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:alma.44SUR_INST:11139491590002346","is_oa":false,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/Initialization-of-nonnegative-matrix-factorization-dictionaries/99514561802346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:epubs.surrey.ac.uk:840738","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/840738/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W66912011","https://openalex.org/W1564690189","https://openalex.org/W1601795611","https://openalex.org/W1790954942","https://openalex.org/W1963858079","https://openalex.org/W1983133367","https://openalex.org/W1993958608","https://openalex.org/W2002519017","https://openalex.org/W2003780581","https://openalex.org/W2039844283","https://openalex.org/W2042419400","https://openalex.org/W2049507888","https://openalex.org/W2113076747","https://openalex.org/W2123311885","https://openalex.org/W2135029798","https://openalex.org/W2140701737","https://openalex.org/W2146544734","https://openalex.org/W3143596294","https://openalex.org/W6602789995","https://openalex.org/W6633740391","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W2123043102","https://openalex.org/W2577807713","https://openalex.org/W2098101267","https://openalex.org/W2037504162","https://openalex.org/W2774154397","https://openalex.org/W2146544734","https://openalex.org/W2156699640","https://openalex.org/W1979654135","https://openalex.org/W2156181515","https://openalex.org/W2081322759"],"abstract_inverted_index":{"In":[0,56,125],"this":[1,49,126],"work,":[2,127],"we":[3,128],"study":[4],"different":[5],"initialization":[6,43,155],"methods":[7],"for":[8,21,24,73,100,109,156],"the":[9,42,86,96,104,116,142,147],"nonnegative":[10],"matrix":[11],"factorization":[12],"(NMF)":[13],"dictionaries":[14],"or":[15],"bases.":[16,124],"There":[17],"is":[18,30,46,62,82,112],"a":[19,31,66,91],"need":[20],"good":[22],"initializations":[23],"NMF":[25,28,45,61,81,143,157,166],"dictionary":[26],"because":[27],"decomposition":[29,117],"non-convex":[32],"problem":[33],"which":[34],"has":[35],"many":[36],"local":[37],"minima.":[38],"The":[39,107],"effect":[40],"of":[41,44,68,95],"evaluated":[47],"in":[48,76,103],"work":[50],"on":[51],"audio":[52,58,161],"source":[53,59,75,111],"separation":[54,162],"applications.":[55],"supervised":[57],"separation,":[60],"used":[63,83],"to":[64,84,140],"train":[65],"set":[67],"basis":[69,98,144],"vectors":[70,99],"(basis":[71],"matrix)":[72],"each":[74,110],"an":[77],"iterative":[78],"fashion.":[79],"Then":[80],"decompose":[85],"mixed":[87,105],"signal":[88],"spectrogram":[89],"as":[90],"weighted":[92],"linear":[93],"combination":[94],"trained":[97,123],"all":[101],"sources":[102],"signal.":[106],"estimate":[108],"computed":[113],"by":[114],"summing":[115],"terms":[118],"that":[119],"include":[120],"its":[121],"corresponding":[122],"use":[129],"principal":[130],"component":[131],"analysis":[132],"(PCA),":[133],"spherical":[134],"K-means,":[135],"and":[136],"fuzzy":[137],"C-means":[138],"(FCM)":[139],"initialize":[141],"matrices":[145],"during":[146],"training":[148],"procedures.":[149],"Experimental":[150],"results":[151],"show":[152],"that,":[153],"better":[154,160],"bases":[158],"gives":[159],"performance":[163],"than":[164],"using":[165],"with":[167],"random":[168],"initialization.":[169]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}